由于WebSocket允许保持长连接,因此当建立连接后服务器可以主动地向Client发送相关信息.下面通过服务端获取当前CPU的使用情况主动发送给网页,让网页实时显示CPU使用情况的曲线图.该事例的主要功能是包括服务端获取CPU使和情况和HTML5使用canvas进行曲线图绘制.
应用效果
实现效果主要是模仿windows的任务管理器,显示每个核的工作情况.
C#获取CPU使用情况
可能通过PerformanceCounter来获取具本CPU线程的使用情况,不过在构建PerformanceCounter前先获取到CPU对应的线程数量.获取这个数量可以通过Environment.ProcessorCount属性获取,然后遍历构建每个PerformanceCounter
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int coreCount = Environment.ProcessorCount;
for
(int i = 0; i
{
mCounters.Add(new
PerformanceCounter("Processor", "% Processor Time", i.ToString()));
}
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为了方便计数器的处理,简单地封装了一个基础类,完整代码如下:
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/// /// Copyright © henryfan 2012
///Email: henryfan@msn.com
///HomePage: http://www.ikende.com
///CreateTime: 2012/12/24 15:10:44
///
public
class ProcessorCounter
{
private
Listnew
List
public
IList
{
get
{
return
mCounters;
}
}
public
void Open()
{
int
coreCount = Environment.ProcessorCount;
for
(int i = 0; i
{
mCounters.Add(new
PerformanceCounter("Processor", "% Processor Time", i.ToString()));
}
}
public
ItemUsage[] GetValues()
{
ItemUsage[] values = new
ItemUsage[mCounters.Count];
for
(int i = 0; i
{
values[i] = new
ItemUsage();
values[i].ID = i.ToString();
values[i].Name = "CPU "
+i.ToString();
values[i].Percent = mCounters[i].NextValue();
}
return
values;
}
}
public
class ItemUsage
{
public
string Name { get; set; }
public
float Percent { get; set; }
public
string ID { get; set; }
}
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这样一个用于统计CPU所有线程使用情况计数的类就完成了.
页面绘制处理
首先定义一些简单的处理结构
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function ProcessorInfo() {
this.Item = null;
this.Points = new
Array();
for
(var i = 0; i
this.Points.push(new
Point(0, 0));
}
}
function
Point(x, y) {
this.X = x;
this.Y = y;
}
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主要定义线程信息结构,默认初始化50个座标,当在接收服务线程使用情况的时候,构建一个点添加到数组件尾部同时把第一个移走.通过定时绘制这50个点的曲线这样一个动态的走势就可以完成了.
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function drawProceessor(item) {
var
canvas = document.getElementById('processimg'
+ item.Item.ID);
var
context = canvas.getContext('2d');
context.beginPath();
context.rect(0, 0, 200, 110);
context.fillStyle = 'black';
context.fill();
context.lineWidth = 2;
context.strokeStyle = 'white';
context.stroke();
context.beginPath();
context.moveTo(2, 106);
for
(var i = 0; i
context.lineTo(4 * i + 2, 110 - item.Points[i].Y - 4);
}
context.lineTo(200, 106);
context.closePath();
context.lineWidth = 1;
context.fillStyle = '#7FFF00';
context.fill();
context.strokeStyle = '#7CFC00';
context.stroke();
context.font = '12pt Calibri';
context.fillStyle = 'white';
context.fillText(item.Item.Name, 60, 20);
}
function
addUploadItem(info) {
if
(cpus[info.ID] == null) {
var
pinfo = new ProcessorInfo();
pinfo.Item = info;
$(''" width="200" height="110">').appendTo($('#lstProcessors'));
cpus[info.ID] = pinfo;
processors.push(pinfo);
pinfo.Points.shift();
pinfo.Points.push(new
Point(0, info.Percent));
drawProceessor(pinfo);
} else
{
var
pinfo = cpus[info.ID];
pinfo.Points.shift();
pinfo.Points.push(new
Point(0, info.Percent));
}
}
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只需要通过定时器来不停地更新线程使用绘制即可.
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setInterval(function
() {
for
(var i = 0; i
drawProceessor(processors[i]);
}
}, 1000);
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服务端
对于服务端其实可以根据自己的需要来使用websocket协议实现,.net 4.5也提供相应的封装.而这里则使用了beetle对应websocket的扩展协议包,整体代码如下:
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class
Program : WebSocketJsonServer
{
static
void Main(string[] args)
{
TcpUtils.Setup("beetle");
Program server = new
Program();
server.Open(8070);
Console.WriteLine("websocket start@8070");
ProcessorCounter counters = new
ProcessorCounter();
counters.Open();
while
(true)
{
ItemUsage[] items = counters.GetValues();
foreach
(ItemUsage item in
items)
{
Console.WriteLine("{0}:{1}%", item.Name, item.Percent);
}
JsonMessage message = new
JsonMessage();
message.type = "cpu useage";
message.data = items;
foreach
(TcpChannel channel in
server.Server.GetOnlines())
{
channel.Send(message);
}
System.Threading.Thread.Sleep(995);
}
System.Threading.Thread.Sleep(-1);
}
protected
override void OnError(object
sender, ChannelErrorEventArgs e)
{
base.OnError(sender, e);
Console.WriteLine(e.Exception.Message);
}
protected
override void OnConnected(object
sender, ChannelEventArgs e)
{
base.OnConnected(sender, e);
Console.WriteLine("{0} connected", e.Channel.EndPoint);
}
protected
override void OnDisposed(object
sender, ChannelDisposedEventArgs e)
{
base.OnDisposed(sender, e);
Console.WriteLine("{0} disposed", e.Channel.EndPoint);
}
}
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每秒获取一次CPU的使用情况,并把信息以json的方式发送给当前所有在线的连接.
下载
完整代码:ProcessorsMonitor.rar (686.02 kb)
演示地址:http://html5.ikende.com/ProcessorsMonitor.htm (浏览器使用chrome或IE10)
via:http://www.cnblogs.com/smark/archive/2012/12/25/2833129.html
